Using Nemo instead of Mods
much faster for finite fields; a bit slower for Z
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SL.jl
93
SL.jl
@ -2,92 +2,37 @@ using ArgParse
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using GroupAlgebras
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using PropertyT
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using Mods
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import Primes: isprime
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using Nemo
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import SCS.SCSSolver
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function E(i::Int, j::Int, M::Nemo.MatSpace)
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@assert i≠j
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m = one(M)
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m[i,j] = m[1,1]
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return m
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end
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function SL_generatingset(n::Int)
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indexing = [(i,j) for i in 1:n for j in 1:n if i≠j]
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S = [E(i,j,N=n) for (i,j) in indexing];
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S = vcat(S, [convert(Array{Int,2},x') for x in S]);
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S = vcat(S, [convert(Array{Int,2},inv(x)) for x in S]);
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return unique(S)
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end
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function E(i::Int, j::Int; val=1, N::Int=3, mod=Inf)
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@assert i≠j
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m = eye(Int, N)
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m[i,j] = val
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if mod == Inf
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return m
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else
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return [Mod(x,mod) for x in m]
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end
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end
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function cofactor(i,j,M)
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z1 = ones(Bool,size(M,1))
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z1[i] = false
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z2 = ones(Bool,size(M,2))
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z2[j] = false
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return M[z1,z2]
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end
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import Base.LinAlg.det
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function det(M::Array{Mod,2})
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if size(M,1) ≠ size(M,2)
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d = Mod(0,M[1,1].mod)
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elseif size(M,1) == 1
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d = M[1,1]
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elseif size(M,1) == 2
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d = M[1,1]*M[2,2] - M[1,2]*M[2,1]
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else
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d = zero(eltype(M))
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for i in 1:size(M,1)
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d += (-1)^(i+1)*M[i,1]*det(cofactor(i,1,M))
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end
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end
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# @show (M, d)
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return d
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end
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function adjugate(M)
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K = similar(M)
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for i in 1:size(M,1), j in 1:size(M,2)
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K[j,i] = (-1)^(i+j)*det(cofactor(i,j,M))
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end
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return K
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end
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import Base: inv, one, zero, *
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one(::Type{Mod}) = 1
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zero(::Type{Mod}) = 0
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zero(x::Mod) = Mod(x.mod)
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function inv(M::Array{Mod,2})
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d = det(M)
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d ≠ 0*d || throw(ArgumentError("Matrix is not invertible! $M"))
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return inv(det(M)).*adjugate(M)
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return adjugate(M)
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G = Nemo.MatrixSpace(Nemo.ZZ, n,n)
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S = [E(i,j,G) for (i,j) in indexing];
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S = vcat(S, [transpose(x) for x in S]);
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S = vcat(S, [inv(x) for x in S]);
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return unique(S), one(G)
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end
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function SL_generatingset(n::Int, p::Int)
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p == 0 && return SL_generatingset(n)
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(p > 1 && n > 0) || throw(ArgumentError("Both n and p should be positive integers!"))
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isprime(p) || throw(ArgumentError("p should be a prime number!"))
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F = Nemo.ResidueRing(Nemo.ZZ, p)
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G = Nemo.MatrixSpace(F, n,n)
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indexing = [(i,j) for i in 1:n for j in 1:n if i≠j]
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S = [E(i,j, N=n, mod=p) for (i,j) in indexing]
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S = [E(i, j, G) for (i,j) in indexing]
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S = vcat(S, [transpose(x) for x in S])
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S = vcat(S, [inv(s) for s in S])
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S = vcat(S, [permutedims(x, [2,1]) for x in S]);
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return unique(S)
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return unique(S), one(G)
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end
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function products{T}(U::AbstractVector{T}, V::AbstractVector{T})
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